How to Use the JSONCargo Maritime MCP in AutoGen

Debate maritime logistics in AutoGen with multi-agent systems and real-time vessel tools.

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Connect JSONCargo Maritime MCP to AutoGen

Create your Vinkius account to connect JSONCargo Maritime to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup JSONCargo Maritime with AutoGen

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Perplexity

Negotiate routes with multi-agent debate

Deploy a performance agent and a safety agent to analyze `get_current_voyage_details`. They will challenge each other's route assessments until they reach a consensus. This prevents single-point-of-failure logic. You get a decision-making system that weighs speed against risk using actual transit data as the anchor for the debate.

Verify vessel registry via agent consensus

Use `search_maritime_vessels` to provide facts for your agents to inspect. One agent retrieves the IMO number, while another verifies it against external registry constraints. This cross-checking ensures the data is accurate before any action is taken. Your agents act as a verification layer that prevents bad data from propagating.

Coordinate port logistics with agent teams

Assign an agent to query `list_maritime_ports` and another to assess congestion. They negotiate the best arrival window based on the coordinates and status returned. This removes the need for manual scheduling. Your agents handle the negotiation, leaving you with a finalized plan that accounts for real-time port conditions.

Setup guide

Set up JSONCargo Maritime MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes JSONCargo Maritime tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="JSONCargo Maritime_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent JSONCargo Maritime data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="JSONCargo Maritime_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent JSONCargo Maritime data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about JSONCargo Maritime MCP in AutoGen

You pass the tool list to the AssistantAgent constructor. All agents in the group chat can then invoke JSONCargo Maritime tools based on their assigned roles.

Yes. Use a tool filter in your agent configuration to restrict access. This ensures only authorized agents handle sensitive maritime data.

Agents treat tool calls as asynchronous tasks. The conversation continues while waiting for the server to return the vessel or port data.

All traffic is handled through an ephemeral sandbox. Your maritime data is never logged or stored by the server after the session concludes.

The agents detect the anomaly during their debate. They will flag the data as invalid and request a retry or escalate the issue to you.

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